machine-learning-engineering-for-production-public
machine-learning-engineering-for-production-public copied to clipboard
https-deeplearning-ai
Mac M1 Users - Link to solution
This resource contains information on how to install TF locally for Mac M1 users: https://github.com/apple/tensorflow_macos/issues/153
It would be good to mention Mac M1 support for tensorflow in the resources section.
Here's a post from a student looking for this information: https://community.deeplearning.ai/t/how-to-serve-the-model-using-tensorflow-serving-docker-image-on-m1-arm64-architecture/102169
There is an additional file explaining how to get this working since Sept 2022 (this one). @cfav-dev do you think this is enough or should we also put an additional note in the resources section?
@andres-zartab . If the additional file is on the repo and the README mentions it, I think putting a copy in the Resources is a nice-to-have but not critical. When a learner asks about the steps, we can point to the link in the README. If it's not mentioned, however, then we should add a note about it, or place it in the Resources section so mentors can refer to it. I think it's better to link to it in the notebook though. Thanks.
In this case there is no notebook, or rather they need to go to the mkdown in order to run the notebook locally but I agree with what you said. I think it is highlighted enough so that we don't need to add this to the resources right away. Will close for now, thanks!